Empirical best linear unbiased prediction in cultivar trials using factor-analytic variance-covariance structures

No abstract is available for this paper.

• Publication year

  1998

• Venue

  Theoretical and Applied Genetics

• Publication date

  1998-07-29

• Fields of study

  Agricultural and Food Sciences, Biology

• Identifiers
  DOI 10.1007/s001220050885
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Predicting cultivar differences using covariates.

  1998cited by this paper
• ANALYZING GENOTYPE-ENVIRONMENT DATA BY MIXED MODELS WITH MULTIPLICATIVE TERMS

  1997cited by this paper
• Modelling expectation and variance for genotype by environment data

  1997cited by this paper
• Asymptotic Confidence Regions for Biadditive Models: Interpreting Genotype‐Environment Interactions

  1996cited by this paper
• Heterogeneous Variance-Covariance Structures for Repeated Measures

  1996cited by this paper
• REML Estimation of Multiplicative Effects in Multienvironment Variety Trails

  1995cited by this paper
• Prediction of Yield for Specific Locations in German Winter‐wheat Trials

  1994cited by this paper
• Statistical analysis of regional yield trials: AMMI analysis of factorial designs: H.G. Gauch, 1992. Elsevier Science Publishers, 278 pp., US$ 175.00/ Dfl. 280.00, ISBN 0-444-89240-0

  1994cited by this paper
• TESTS AND ESTIMATORS OF MULTIPLICATIVE MODELS FOR VARIETY TRIALS

  1993influential reference
• Shifted multiplicative models for nonadditive two-way tables

  1992influential reference
• Nearest Neighbor Adjusted Best Linear Unbiased Prediction

  1991cited by this paper
• That BLUP is a Good Thing: The Estimation of Random Effects

  1991cited by this paper
• Multiplicative effects in mixed model analysis of variance

  1991cited by this paper
• Model selection and validation for yield trials with interaction

  1988cited by this paper
• Unbalanced repeated-measures models with structured covariance matrices.

  1986cited by this paper
• Methods for Combining Data from Gemrplasm Evaluation Trials 1

  1985cited by this paper

• Genetic progress in rice yield: preliminary insights from historically released varieties in Sub-Saharan Africa

  2026cites this paper
• Evaluation and optimization of wheat and maize national variety evaluation systems in Europe

  2026cites this paper
• Regression approaches for modeling genotype-environment interaction and making predictions into unseen environments

  2026cites this paper
• A latent factor approach to hyperspectral time series data for multivariate genomic prediction of grain yield in wheat

  2026cites this paper
• Assessing the adaptability and stability of maize hybrids using a Bayesian factor analytic model

  2025cites this paper
• Regression approaches for modelling genotype-environment interaction and making predictions into unseen environments

  2025cites this paper
• Estimation of ryegrass (Lolium) dry matter yield using genomic prediction considering genotype by environment interaction across south-eastern Australia

  2025cites this paper
• Season × genotype interaction studies for identification of stable performing accessions for pod yield and attributing traits in French bean (Phaseolus vulgaris L.)

  2025cites this paper
• Optimization of sparse phenotyping strategy in multi-environmental trials in maize

  2025cites this paper
• Optimizing soybean variety selection for the Pan-African Trial network using factor analytic models and envirotyping

  2025cites this paper
• Envirotyping facilitates understanding of genotype × environment interactions and highlights the potential of stay-green traits in wheat

  2025cites this paper
• Accuracy of Multi‐Environmental Trials in Predicting New Environments Using Different Approaches Based on Environmental Covariates: A Case in Barley (Hordeum vulgare L.) Breeding

  2025cites this paper
• Plant variety selection using interaction classes derived from factor analytic linear mixed models: models with information on genetic relatedness

  2025cites this paper
• Exploring genotype-by-environment interactions in tropical soybean multi-environment trials

  2025cites this paper
• Feature engineering of environmental covariates improves plant genomic-enabled prediction

  2024cites this paper
• Evaluating cultivar intensity and dataset size for reliable cultivar recommendation in winter wheat: A systematic research of environmental and genotype factors

  2024cites this paper
• Genomic prediction for targeted populations of environments in oat (Avena sativa)

  2024cites this paper
• An investigation of the impact of imbalance on the analysis of the US crop variety evaluation program data

  2024cites this paper
• Comparison of additive main effect–multiplicative interaction model and factor analytic model for genotypes ordination from multi‐environment trials

  2024cites this paper
• Genotype by environment interaction and stability analysis of three agronomic traits in Kersting's groundnut (Macrotyloma geocarpum) using factor analytic modeling and environmental covariates

  2024cites this paper
• Genotype x environment interaction in cassava multi-environment trials via analytic factor

  2024cites this paper
• Genetic loci associated with sorghum drought tolerance in multiple environments and their sensitivity to environmental covariables

  2024cites this paper
• Factor analytic selection tools and environmental feature-integration enable holistic decision-making in Eucalyptus breeding

  2024cites this paper
• Factor‐Analytic Variance–Covariance Structures for Prediction Into a Target Population of Environments

  2024influential citation
• Accuracy of prediction from multi-environment trials for new locations using pedigree information and environmental covariates: the case of sorghum (Sorghum bicolor (L.) Moench) breeding

  2024influential citation
• Multi-trait association mapping for phosphorous efficiency reveals flexible root architectures in sorghum

  2024cites this paper
• New imputation methodologies for genotype-by-environment data: an extensive study of properties of estimators

  2024cites this paper
• Incorporating environmental covariates to explore genotype × environment × management (G × E × M) interactions: A one-stage predictive model

  2023cites this paper
• Genotype by environment interaction characterization and its modeling with random regression to climatic variables in two rice breeding populations

  2023cites this paper
• Editorial: Statistical methods for analyzing multiple environmental quantitative genomic data

  2023cites this paper
• Sparse testing using genomic prediction improves selection for breeding targets in elite spring wheat

  2022cites this paper
• Application of linear mixed models for multiple harvest/site trial analyses in perennial plant breeding

  2022cites this paper
• Multi‐trait genomic prediction improves selection accuracy for enhancing seed mineral concentrations in pea

  2022cites this paper
• Handling outliers in multi-environment trial data analysis: in the direction of robust SREG model

  2022cites this paper
• Phenotyping of productivity and resilience in sweetpotato under water stress through UAV‐based multispectral and thermal imagery in Mozambique

  2021cites this paper
• Environment characterization and genomic prediction for end‐use quality traits in soft white winter wheat

  2021cites this paper
• Winter Wheat Cultivar Recommendation Based on Expected Environment Productivity

  2021cites this paper
• Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage

  2021cites this paper
• Comparing a Mixed Model Approach to Traditional Stability Estimators for Mapping Genotype by Environment Interactions and Yield Stability in Soybean [Glycine max (L.) Merr.]

  2021cites this paper
• Bayesian GGE model for heteroscedastic multi‐environmental trials

  2021cites this paper
• Genotype by environment interaction analysis of grain yield and yield components in provitamin A maize

  2021cites this paper
• Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision

  2021cites this paper
• Statistical methods for analysis of multienvironment trials in plant breeding: accuracy and precision

  2021cites this paper
• Mega-environment analysis to assess adaptability, stability, and genomic predictions in grain sorghum hybrids

  2021cites this paper
• Approaches to relating rice root plasticity with yield stability across different drought stress and establishment conditions.

  2021cites this paper
• Cross‐validation of stagewise mixed‐model analysis of Swedish variety trials with winter wheat and spring barley

  2020cites this paper
• Boosting predictive ability of tropical maize hybrids via genotype‐by‐environment interaction under multivariate GBLUP models

  2020cites this paper
• Application of the factor analytic model to assess wheat falling number performance and stability in multienvironment trials

  2020cites this paper
• Reducing Incidence of Nonpositive Definite Covariance Matrices in Mixed Effect Models

  2020cites this paper
• Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates

  2020cites this paper
• MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits

  2020cites this paper
• Measure to evaluate the sensitivity to genotype‐by‐environment interaction in grapevine clones

  2020cites this paper
• Progress check of yielding ability and stability of selected pre-release bread-wheat cultivars in Zimbabwe

  2020cites this paper
• Analyzing the performance of corn in China using a factor‐analytic variance‐covariance structure with multiple factors

  2020cites this paper
• A comparison of factor‐analytic and equal diagonal factor‐analytic models in multi‐location trials analyses

  2020cites this paper
• Variance component estimations and mega‐environments for sweetpotato breeding in West Africa

  2020cites this paper
• Global multi-environment resistance QTL for foliar late blight resistance in tetraploid potato with tropical adaptation

  2020cites this paper
• Sequencing depth and genotype quality: accuracy and breeding operation considerations for genomic selection applications in autopolyploid crops

  2020cites this paper
• Stacking Tolerance to Drought and Resistance to a Parasitic Weed in Tropical Hybrid Maize for Enhancing Resilience to Stress Combinations

  2020cites this paper
• A novel GIS-based tool to reveal spatial trends in reaction norm: upland rice case study

  2020cites this paper
• Multi-environment analysis of sorghum breeding trials using additive and dominance genomic relationships

  2020cites this paper
• BLUP’s to Quantify Yield Gain under Wheat Coordinated System for Northern Hills Zone by Factor Analytic Approach

  2019cites this paper
• Statistical Methods for Plant Breeding

  2019cites this paper
• Stability Analysis of Tuber Yield and Starch Yield in Mid-Late and Late Maturing Starch Cultivars of Potato (Solanum tuberosum)

  2019cites this paper
• Mega‐Environmental Design: Using Genotype × Environment Interaction to Optimize Resources for Cultivar Testing

  2019cites this paper
• Bayesian factor analytic model: An approach in multiple environment trials

  2019cites this paper
• Mega‐environment identification for soybean ( Glycine max ) breeding and production in Brazilian Midwest region

  2019cites this paper
• Heterogeneity of Variances in the Bayesian AMMI Model for Multienvironment Trial Studies

  2019cites this paper
• Adaptability and stability of eucalypt clones at different ages across environmental gradients in Brazil

  2019cites this paper
• Mean Performance and Stability in Multi‐Environment Trials I: Combining Features of AMMI and BLUP Techniques

  2019cites this paper
• Factor analysis to investigate genotype and genotype × environment interaction effects on pro-vitamin A content and yield in maize synthetics

  2019cites this paper
• Assessment of statistical analysis of Swedish cultivar testing

  2019cites this paper
• Weighting methods for variance heterogeneity in phenotypic and genomic data analysis for crop breeding

  2019cites this paper
• When a phenotype is not the genotype: Implications of phenotype misclassification and pedigree errors in genomics-assisted breeding of sweetpotato [Ipomoea batatas (L.) Lam.]

  2019influential citation
• A comparison of empirical BLUP with different considerations of residual error variance for genotype evaluation of multi-location trials

  2019influential citation
• Genetic Covariance of Environments in the Potato National Chip Processing Trial

  2019cites this paper
• EYE-GAZE DIGITAL GAMES IMPROVE MOTIVATIONAL AND ATTENTIONAL ABILITIES IN RETT SYNDROME

  2019cites this paper
• A Cross‐Validation of Statistical Models for Zoned‐Based Prediction in Cultivar Testing

  2019cites this paper
• THE PARAMETRIC AND NON-PARAMETRIC STABILITY ANALYSES FOR INTERPRETING GENOTYPE BY ENVIRONMENT INTERACTION OF SOME SOYBEAN GENOTYPES

  2019cites this paper
• Multienvironment Models Increase Prediction Accuracy of Complex Traits in Advanced Breeding Lines of Rice

  2018cites this paper
• Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials

  2018influential citation
• Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials

  2018cites this paper
• Optimal models in the yield analysis of new flax cultivars

  2018cites this paper
• Estimating Genotype × Environment Interaction for and Genetic Correlations among Drought Tolerance Traits in Maize via Factor Analytic Multiplicative Mixed Models

  2018cites this paper
• Multiplicative Main Cultivar Effects in Czech Official Winter Wheat Trials 1976-2005

  2018cites this paper
• Adaptation of Norway spruce populations in Europe: a case study from northern Poland§

  2017cites this paper
• ارزیابی پایداری عملکرد دانه لاینهای امیدبخش کلزا (Brassica napus L.) زمستانه با استفاده از تجزیه به مختصات اصلی

  2017cites this paper
• Cross‐Validation in AMMI and GGE Models: A Comparison of Methods

  2017cites this paper
• Prediction Accuracy and Consistency in Cultivar Ranking for Factor‐Analytic Linear Mixed Models for Winter Wheat Multienvironmental Trials

  2017cites this paper
• Half a Century of Studying Genotype × Environment Interactions in Plant Breeding Experiments

  2016cites this paper
• Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models

  2016cites this paper
• Factor analysis applied to the G+GE matrix via REML/BLUP for multi-environment data

  2016cites this paper
• Needles: Toward Large-Scale Genomic Prediction with Marker-by-Environment Interaction

  2016cites this paper
• Application of GGE biplot graphs in multi-environment trials on selection of forest trees

  2016cites this paper
• Modeling Genotype × Environment Interaction for Genomic Selection with Unbalanced Data from a Wheat Breeding Program

  2016cites this paper
• Extending the Marker × Environment Interaction Model for Genomic‐Enabled Prediction and Genome‐Wide Association Analysis in Durum Wheat

  2016cites this paper
• Farmer participatory early-generation yield testing of sorghum in West Africa: Possibilities to optimize genetic gains for yield in farmers' fields

  2016cites this paper
• Mixed Modeling of Yield Components and Brown Rust Resistance in Sugarcane Families

  2016cites this paper
• Evolution of methodology for the study of adaptability and stability in cultivated species.

  2016cites this paper
• Genetic correlations in grapevine and their effects on selection

  2016cites this paper